Mouse obesity network reconstruction with a variational Bayes algorithm to employ aggressive false positive control

BMC Bioinformatics

Volumn 13, Issue 1, 2012, Pages

  Logsdon, Benjamin A ^a,b   Hoffman, Gabriel E ^b   Mezey, Jason G ^b,c  

^a Fred Hutchinson Cancer Research Center   (United States)

^b Plant Breeding and Genetics Section in the School of Integrative Plant Science   (United States)

^c WEILL CORNELL MEDICAL COLLEGE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APOLIPOPROTEIN E; BAYESIAN MODEL AVERAGING; MODEL SELECTION CRITERIA; NETWORK CONNECTION; NETWORK RECONSTRUCTION; NETWORK RECOVERIES; QUANTITATIVE TRAIT LOCUS; VARIATIONAL BAYES;

ALGORITHMS; BAYESIAN NETWORKS; CHOLESTEROL; COMPUTER SIMULATION; DATA MINING; FATTY ACIDS; GENE EXPRESSION; GLUCOSE; MAMMALS; NUTRITION; RISK ASSESSMENT; SCALABILITY;

COMPUTER SYSTEM RECOVERY;

APOLIPOPROTEIN E;

ALGORITHM; ANIMAL; ARTICLE; BAYES THEOREM; C3H MOUSE; C57BL MOUSE; COMPUTER SIMULATION; GENETICS; HUMAN; METABOLISM; MOUSE; OBESITY; QUANTITATIVE TRAIT LOCUS;

ALGORITHMS; ANIMALS; APOLIPOPROTEINS E; BAYES THEOREM; COMPUTER SIMULATION; HUMANS; MICE; MICE, INBRED C3H; MICE, INBRED C57BL; OBESITY; QUANTITATIVE TRAIT LOCI;

EID: 84859143461     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-13-53     Document Type: Article

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